… this in our definition: multigraphs are graphs where … multigraph approach that may be used
to analyse networks with multiple edges and loops of different kinds. We describe multigraph …

… of our motivation for sampling Last.fm using multigraph methods stems from its status as a
fragmented network with a rich multigraph structure. In particular, we expected that large parts …

… to extend standard graph analysis techniques to the multi-layer setting in a flexible way. In
this paper we develop latent variable models and methods for mining multi-layer networks for …

… another network. Second, the resulting multigraph is analysed using data mining approaches
to … to relationships in a social network, building collaboration networks is a relevant way to …

… weighted social networks, we propose an evolving multigraph model. The degree distribution
of the generated network can be analyzed theoretically. We then transfer this multigraph to …

… multigraph representation, we propose different tools to visually examine network properties
and perform an exploratory analysis … The multigraph representation additionally enables the …

… The method showed in this article shows that the advantage of these experiences, adds
a multilevel graph approach to allow a more in-depth analysis of the status of a network. …

… social networks. To address this challenge, this paper represents different user relationships
in a multigraph and develops a multigraph … propagated social network-based approaches, …

… Similarly a user can have accounts on different online social networks. Each online network
can … If these semantically different social networks are aggregated, ideally we would want to …

… graphs, dIGraphs, and multIGraphs. Nodes can be “anything” … over social media can be
done by using a number of methods & … of supervised machine learning approach, whereas, …